Global: model: PicoDet_layout_1x mode: check_dataset # check_dataset/train/evaluate/predict dataset_dir: "/paddle/dataset/paddlex/layout/det_layout_examples" device: gpu:0,1,2,3 output: "output" CheckDataset: convert: enable: False src_dataset_type: nul split: enable: False train_percent: null val_percent: null Train: num_classes: 4 epochs_iters: 50 batch_size: 24 learning_rate: 0.4 pretrain_weight_path: null warmup_steps: 100 resume_path: null log_interval: 1 eval_interval: 1 Evaluate: weight_path: "output/best_model.pdparams" log_interval: 10 Predict: model: "output/best_model" input_path: "/paddle/dataset/paddlex/layout/det_layout_examples/images/JPEGImages/train_0001.jpg" kernel_option: run_mode: paddle batch_size: 1